code: def test_hific_autoencoder_compress_decompress(arange_4d_image):
      model = HiFiCAutoencoder(in_channels=arange_4d_image.shape[1])
  
      model.update()
  
      compressed = model.compress(arange_4d_image)
      decompressed = model.decompress(compressed)
  
      assert decompressed.shape == arange_4d_image.shape
  
file_path: NeuralCompression/tests/models/test_hific_autoencoder.py
imports: import pytest
  import torch
  from torch import Tensor
  from neuralcompression.models import HiFiCAutoencoder
label_desc: Use image node_id 2 for calling a global function with example usage: test_hific_autoencoder_compress_decompress(arange_4d_image) without return types